Triple
T9623322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Hughes |
E232396
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Taylor Hughes |
E227844
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Taylor Hughes | Statement: [Emily Hughes, relative, Taylor Hughes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taylor Hughes Context triple: [Emily Hughes, relative, Taylor Hughes]
-
A.
Taylor Hughes
chosen
Taylor Hughes is a member of the Hughes family and the sibling of American Olympic figure skating champion Sarah Hughes.
-
B.
Jimmy Hughes
Jimmy Hughes is a central character on the sitcom "Yes, Dear," portrayed as a well-meaning but often overwhelmed young father and husband navigating everyday family chaos.
-
C.
Pat Hughes
Pat Hughes is a longtime American sportscaster best known as the radio play-by-play voice of Major League Baseball’s Chicago Cubs.
-
D.
Miko Hughes
Miko Hughes is an American former child actor best known for his memorable roles in films like "Pet Sematary," "Kindergarten Cop," and "Apollo 13," as well as the TV series "Full House."
-
E.
Brent Hughes
Brent Hughes is a Canadian ice hockey executive and former player who has served in leadership roles such as general manager for minor professional teams like the Brampton Beast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad650a4819096258665bc3f410b |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18225f9508190bde23b9d2a40bccc |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:10 p.m.